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Using <i>Gaia</i> DR2 to detect extratidal structures around the Galactic globular cluster NGC362
| Indexado |
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| DOI | 10.1093/MNRAS/STZ962 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Abstract
We explore the possibility of searching for extratidal features around the Galactic globular cluster NGC362 using the Gaia DR2 (second data release) together with a modified version of a classical statistical decontamination algorithm. Our results suggest that an important stellar component is associated with this globular cluster, which is perfectly distinguishable from the populations in the Small Magellanic Cloud and that of the nearby NGC104 (47 Tucanae). We thus confirm once again the power of Gaia to disentangle different stellar components along the same line of sight.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | CARBALLO-BELLO, JULIO ALBERTO | Hombre |
Pontificia Universidad Católica de Chile - Chile
CASSACA - China National Astronomical Observatories Chinese Academy of Sciences - China |
| Fuente |
|---|
| FONDECYT |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| CAS-Conicyt |
| Fondo Nacional de Desarrollo CientÃfico y Tecnológico |
| European Space Agency |
| Agradecimiento |
|---|
| Thanks to the anonymous referee for her/his helpful comments and suggestions. JAC-B acknowledges financial support to CAS-CONICYT 17003 and FONDECYT postdoctoral fellowship 3160502. Thanks to M. Catelan, J. M. Corral-Santana, and C. Navarrete for their careful reading. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. |
| Thanks to the anonymous referee for her/his helpful comments and suggestions. JAC-B acknowledges financial support to CAS-CONICYT 17003 and FONDECYT postdoctoral fellowship 3160502. Thanks to M. Catelan, J. M. Corral-Santana, and C. Navarrete for their careful reading. This work has made use of data from the European Space Agency (ESA) mission Gaia (https: //www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web /gaia/dpac/consortium). Funding for the DPC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. |
